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Al Developer Jobs (NOW HIRING)

Charter Global, Inc.

Al Data Platform Engineer

Manhattan, NY · On-site

$126K - $151K/yr

OpsRadar is an Al-powered operational intelligence platform that enables users to interact with ... & DevOps: * Contribute to all phases of the Software Development Lifecycle (SDLC). * Develop, test ...

Noblis

Al Engineer

Bethesda, MD · On-site

Ensuring Al solutions incorporate security controls and responsible Al practices appropriate to the environment. * Collaborate with AI/ML Modeler Engineers, Data Scientists, and Data Engineers to ...

ARK Infotech Spectrum

Principal Engineer

Irving, TX · On-site

... developer toolchains, DevSecOps automation, security controls, and production operations. The role will lead to the evolution of enterprise Al enablement patterns supporting platforms such as Devin ...

Avtech Solutions

DBIQ Data and AI Engineer --

Manhattan, NY · On-site

$126K - $151K/yr

Data and Al Engineer - OpsRadar and Al Data Platform Role Overview OpsRadar is an Al-powered operational intelligence platform that enables users to interact with enterprise operational data using ...

AlleyCorp

Electrical Engineer

Torrance, CA · On-site

The Role Valar Atomics is seeking an Electric al Engineer to support the design and delivery of MV/LV electrical systems for nuclear fuel manufacturing facilities. The role will contribute to ...

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Al Developer information

What is the difference between Al Developer vs Data Scientist?

AspectAl DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; programming skills in Python, TensorFlowBachelor's or higher in Statistics, CS, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech or AI-focused companiesAnalyzes data, builds predictive models, reports insights; in tech, finance, healthcare sectors
Employer & Industry UsageTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions

While both roles involve working with data and programming, Al Developers focus on creating AI algorithms and applications, whereas Data Scientists analyze data to extract insights and build models. The roles often overlap but differ in primary objectives and skill emphasis.

What does an AI developer do?

An AI developer designs, develops, and implements artificial intelligence models and algorithms to solve specific problems. They often work with machine learning frameworks, programming languages like Python, and data sets to create intelligent systems such as chatbots, recommendation engines, or predictive models.
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Al Developer jobs near you
Infographic showing various Al Developer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Hiring: Al Developer / Agentic Al Engineer

Charlotte, NC • On-site

Realtech Services LLC
See more jobs at Realtech Services LLCexternal

Other

Re-posted 6 days ago

Job description


Position: Al Developer / Agentic Al Engineer- 12 Positions

Location: Charlotte, NC

Interview Process: F2F Required at Charlotte, NC

Our challenge:

  • Candidate will be building an agentic Al platform to transform commercial banking customer service. The Al developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure too/API integrations - with enterprise-grade controls, observability, and human-in-the-loop patterns.
  • This role sits within a cross-functional team with Product, Operations, Technology, and Risk partners and focuses on delivering production-ready agentic Al capabilities for regulated financial services Responsibilities.

The Role

Responsibilities:

Agentic Al Solution Development

  • Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
  • Implement intent classification information extraction validation and decision logic for servicing workflows
  • Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management)
  • Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds.

Knowledge and grounding (RAG)

  • Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance.
  • Build knowledge ingestion pipelines with refresh/versioning.
  • Improve answer quality via chunking strategies, embeddings re ranking and context management.

Quality, Safety and Evaluation

  • Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
  • Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
  • Partner with risk slash compliance to ensure traceability, audit logs, explain ability requirements are met.

Production Readiness and Operations

  • Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).
  • Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).
  • Collaborate with platform and security teams on secrets management, access controls, PIl protections, and safe deployments.

Requirements:

  • 4+ years of software engineering experience or equivalent with strong CS fundamentals
  • Hands-on experience building with LLMs and modern Al app stack (agents, RAG, tool/function calling).
  • Strong proficiency in Python and building back-end services/APls.
  • Experience with at least one: LangChain/ LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks.
  • Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, )
  • Experience deploying services in cloud environments (AWS/Azure/GP) with basic DevOps practices
  • Strong understanding of security and privacy principles (PIl handling, least privilege, audit logging).

Preferred:

but not required:

  • Experience in financial services or other regulated domains (risk controls, compliance audit readiness)
  • Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines,
  • BPM/RPA)
  • Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing)
  • Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing
  • Exposure to MRM concerns and governance (model cards, risk assessments, validation processes)

Apply